* Development lead for Real User Monitoring Token-based Licensing, which gives customers the ability to configure session limits to RUM tokens, giving them flexibility to allocate license usage across their RUM applications

https://help.splunk.com/en/splunk-observability-cloud/monitor-end-user-experience/real-user-monitoring/set-up-splunk-rum#manage-your-rum-access-token-0

* Development lead for RUM-ThousandEyes integration, which gives customers the visibility to correlate user experience problems in their RUM applications with network issues

https://help.splunk.com/en/splunk-observability-cloud/monitor-end-user-experience/real-user-monitoring/splunk-rum-and-cisco-thousandeyes-integration

* Development lead for JavaScript error monitoring feature, which gives customers the ability to upload source maps to deobfuscate JS errors on their browser applications

https://community.splunk.com/t5/Product-News-Announcements/What-s-New-in-Splunk-Observability-Cloud-and-Splunk-AppDynamics/ba-p/747155

* Developed features for Browser Real User Monitoring (BRUM) product in a microservice-modeled, AWS service-based, distributed system

* Built ingestion pipeline for BRUM JS error troubleshooting, a top 5 priority commercial SaaS project for AppDynamics. Created two microservices to publish records using Kafka at 250K records/minute and allow the customer to upload source maps and decode JavaScript error stack traces

* Built proof-of-concept ingestion pipeline for end user browser metrics. Created two new microservices to publish metrics using Kafka Streams and Kafka Connect

* Won Crowd Favorite award for Hacky New Year 2021 hackathon project called Your Attention Please, chosen from among 79 company-wide project idea submissions

* Received 7 internal Connected Recognition awards from customer support team for helping to resolve customer escalations

* Directed sprints and retrospectives as Scrum master of BRUM squad

* Technologies used: Java, DynamoDB, S3, SQS, Redis, Kafka, Kubernetes, Docker, MySQL

* Built API for UI-based JavaScript Agent configuration screen, which allows the customer to easily fill in configuration fields to customize the agent behavior and auto-generates a JavaScript snippet

* Received 12 internal Connected Recognition awards from my team for community building, mentoring, and on-call

* Worked on algorithm for Visually Complete Time (VCT) metric on the JavaScript Agent, a JavaScript file running on customers' web apps. This captures the point in time that the page has visually loaded on the end user's viewport. Drove accuracy to capture within 300ms of first screen load for more than 95% of tested public websites.